Results 21 to 30 of about 2,610,164 (335)
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix [PDF]
IEEE Transactions on Information Forensics and Security, 2021 We study a statistical signal processing privacy problem, where an agent observes useful data $Y$ and wants to reveal the information to a user. Since the useful data is correlated with the private data $X$ , the agent employs a privacy mechanism to ...
A. Zamani, T. Oechtering, M. Skoglund
semanticscholar +1 more source
Decompositions of matrices into a sum of invertible matrices and matrices of fixed nilpotence [PDF]
The Electronic Journal of Linear Algebra, 2023 For any $n\ge 2$ and fixed $k\ge 1$, we give necessary and sufficient conditions for an arbitrary nonzero square matrix in the matrix ring $\mathbb{M}_n(\mathbb{F})$ to be written as a sum of an invertible matrix $U$ and a nilpotent matrix $N$ with $N^k ...
P. Danchev, E. García, M. Gómez Lozano
semanticscholar +1 more source
Application of Extended Euclid Algorithm on Hill Cipher Cryptography Modulo 95
Titian Ilmu: Jurnal Ilmiah Multi Sciences, 2023 Hill Cipher Cryptography is the art of hiding a message using an invertible matrix as the key. Let A be a 2 2 invertible matrix of the real number. Encryption performed by converting each character on the original message into an ASCII code.
Annisa +3 more
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Diagonal dominance and invertibility of matrices
Special Matrices, 2023 A weakly diagonally dominant matrix may or may not be invertible. We characterize, in terms of combinatorial structure and sign pattern when such a matrix is invertible, which is the common case. Examples are given.
Johnson Charles Royal +2 more
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A unified approach for covariance matrix estimation under Stein loss
Comptes Rendus. Mathématique, 2022 In this paper, we address the problem of estimating a covariance matrix of a multivariate Gaussian distribution, from a decision theoretic point of view, relative to a Stein type loss function.
Haddouche, Anis M., Lu, Wei
doaj +1 more source
Algorithms for simultaneous block triangularization and block diagonalization of sets of matrices
AIMS Mathematics, 2023 In a recent paper, a new method was proposed to find the common invariant subspaces of a set of matrices. This paper investigates the more general problem of putting a set of matrices into block triangular or block-diagonal form simultaneously.
Ahmad Y. Al-Dweik +3 more
doaj +1 more source
Invertible disformal transformations with higher derivatives [PDF]
Physical Review D, 2021 We consider a higher-derivative generalization of disformal transformations in $D$-dimensional spacetime and clarify the conditions under which they form a group with respect to the matrix product and the functional composition. These conditions allow us
Kazufumi Takahashi +2 more
semanticscholar +1 more source
Restricted invertibility of continuous matrix functions
Operators and Matrices, 2022 23 ...
Fan, Adrian +6 more
openaire +2 more sources
Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source